Data Scientist

1 month ago


New York, United States Trading Firm Full time

Role/Responsibilities:


We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.


Our commodities trading desk is looking for a Data Scientist to join our dedicated team. The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications.


This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure. The data we work with is often complex and messy, and a successful Data Scientist is always willing to delve into the data in order to achieve results.



Responsibilities include:

- Identification of new data sets

- Engaging with vendors to understand characteristics of datasets

-Ability to relate effortlessly with the Crude trading business, continuously looking for new ways how AI/DS can create value for the desk

- Building processes and technology tools to ingest, tag and clean datasets

- Analysis of datasets to generate descriptive statistics and propose potential applications of data

- Monitoring and enhancing the automated data collection and cleansing infrastructure

- Research on new technologies for improved data management and efficient retrieval


Requirements:


- Ph.D. in computer science, mathematics, physics, statistics or another discipline involving rigorous quantitative analysis techniques

- 3+ years of experience as a Data Scientist, quantitative researcher or in a similar role

- Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling

- Experience applying statistical tests to large data sets

- Programming skills in SQL, TSQL, SQL Server or PL-SQL

- Programming skills in Python and at least one of C#, C++, or Java

- Financial industry experience preferred but not required

- Experience dealing with intraday, tick and order book data a plus

- Strong problem solving skills

- Intellectual curiosity and a love of learning

- Attention to detail and a love of process

- Strong oral and written communication skills


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